TY - GEN
T1 - Rapid Classification of Respiratory Syncytial Virus and Sendai Virus by a Low-cost and Portable Near-infrared Spectrometer
AU - Song, Weiran
AU - Wang, Hui
AU - Rahman, Enayetur
AU - Barabas, Judit
AU - Huang, Jiandong
AU - Power, Ultan F.
AU - Byrne, Hugh J.
AU - McLaughlin, James
AU - Nugent, Chris
AU - Maguire, Paul
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - In this work, we present the combination of near-infrared spectroscopy and chemometrics to distinguish respiratory syncytial virus (RSV) and Sendai virus (SeV), the first study of its kind. Using a low-cost and portable spectrometer, a total of 440 virus spectra were collected over four separate sessions. The spectra were pre-processed by normalisation and baseline removal, and variable elimination was conducted based on the standard deviation. Partial least squares discrimination analysis was used to model the relationship between the spectra and the virus categories, resulting in the accuracy of 0.825 and 0.855 for validation and prediction, respectively. Since the portable spectrometer has simple operation and can provide analytical results in real time, it can be used as a viable tool for rapid, on-site and low-cost virus screening for RSV, SeV and possibly other similar viruses such as SARS-CoV-2.
AB - In this work, we present the combination of near-infrared spectroscopy and chemometrics to distinguish respiratory syncytial virus (RSV) and Sendai virus (SeV), the first study of its kind. Using a low-cost and portable spectrometer, a total of 440 virus spectra were collected over four separate sessions. The spectra were pre-processed by normalisation and baseline removal, and variable elimination was conducted based on the standard deviation. Partial least squares discrimination analysis was used to model the relationship between the spectra and the virus categories, resulting in the accuracy of 0.825 and 0.855 for validation and prediction, respectively. Since the portable spectrometer has simple operation and can provide analytical results in real time, it can be used as a viable tool for rapid, on-site and low-cost virus screening for RSV, SeV and possibly other similar viruses such as SARS-CoV-2.
KW - Sendai virus
KW - classification
KW - data pre-processing
KW - near-infrared spectroscopy
KW - partial least squares discriminant analysis
KW - respiratory syncytial virus
UR - http://www.scopus.com/inward/record.url?scp=85123627793&partnerID=8YFLogxK
U2 - 10.1109/SENSORS47087.2021.9639533
DO - 10.1109/SENSORS47087.2021.9639533
M3 - Conference contribution
AN - SCOPUS:85123627793
T3 - Proceedings of IEEE Sensors
BT - 2021 IEEE Sensors, SENSORS 2021 - Conference Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 20th IEEE Sensors, SENSORS 2021
Y2 - 31 October 2021 through 4 November 2021
ER -